relegation mode of the classical round-robin tournament in the European model of sport to develop a regression …

added. The geographically weighted regression permits a detailed analysis of convergence processes, which has not been … coefficients of the regression equations. The application of this procedure to German labour market regions shows that regions move …. -- Regional Convergence ; Spatial Econometrics ; Geographically Weighted Regression …

This paper considers the most important aspects of model uncertainty for spatial regression models, namely the … and Pace 2007). This allows for a larger domain of spatial growth regression models to be analysed with this approach …

investigated the determinants of convergence club membership using Logistic Regression. We found a low impact of any of the …

explanatory variables for a spatial growth regression involving 255 NUTS 2 regions across 25 European countries. In addition, a … correct interpretation of the spatial regression parameter estimates that takes into account the simultaneous feedback nature …

necessity entrepreneurship. We use a geographically weighted regression (GWR) approach to analyze whether the effect of self …

necessity entrepreneurship. We use a geographically weighted regression (GWR) approach to analyze whether the effect of self …-employment ; economic performance ; geographically weighted regression …

of conceptually derived indicators is used in a self-conducted survey. Using lasso regression as a data-driven selection … Erhebung erhoben und ausgewertet. Unter Verwendung der Lasso-Regression als datengetriebene Selektionsmethode, die in der Lage …